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numpy.int64 type is not serialized correctly in Python 3.11 and Python 3.12 #33137
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@@ -510,6 +510,9 @@ def encode_special_deterministic(self, value, stream): | |||
stream.write_byte(NESTED_STATE_TYPE) | |||
self.encode_type(type(value), stream) | |||
state_value = value.__getstate__() | |||
if value is not None and state_value is None: |
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Why are we checking that value is not None
here? I don't think we want to use this protocol for None
.
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This just indicates __getstate__
might not be implemented. And we know this is true for this if checks.
@@ -510,6 +510,9 @@ def encode_special_deterministic(self, value, stream): | |||
stream.write_byte(NESTED_STATE_TYPE) | |||
self.encode_type(type(value), stream) | |||
state_value = value.__getstate__() |
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I am concerned that just checking that this value is not None is insufficient, as objects with custom pickling protocols can still use this method and the root object
now defines a default for anything with dict or slots.
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I agree it is insufficient.
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Fixes #33020 and #33021. Basically, Beam should return TypeError like
TypeError: Unable to deterministically encode '2000-01-01' of type '<class 'numpy.datetime64'>', please provide a type hint for the input of 'GroupByKey' [while running 'CreatePInput0/Map(decode)']
. The user needs to define their own deterministic coder to use this type as the groupby key.This is a hacky fix by checking whether
__getstate__
returns reasonable results.Thank you for your contribution! Follow this checklist to help us incorporate your contribution quickly and easily:
addresses #123
), if applicable. This will automatically add a link to the pull request in the issue. If you would like the issue to automatically close on merging the pull request, commentfixes #<ISSUE NUMBER>
instead.CHANGES.md
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